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optframe / optframe

Star 65

OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.

optimization genetic-algorithm ils genetic-programming vehicle-routing-problem multi-objective-optimization heuristics optimization-tools pareto-front nsga-ii tabu-search optimization-framework metaheuristics travelling-salesman-problem vns best-improvement first-improvement timetabling multi-improvement
  • Updated May 23, 2024
  • C++

sharma-n / global_optimization

Star 50

Heuristic global optimization algorithms in Python

python evolution genetic-algorithm pathfinding hyperparameter-optimization vehicle-routing-problem global-optimization simulated-annealing ant-colony-optimization dds genetic-algorithms particle-swarm-optimization pso nsga-ii tabu-search heuristic-optimization nsga2 travelling-salesman-problem surrogate-based-optimization dynamically-dimensioned-search
  • Updated Mar 27, 2021
  • Jupyter Notebook

tstran155 / Optimization-of-building-energy-consumption

Star 22

This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

machine-learning-algorithms cross-validation multi-objective-optimization pyomo deterministic bayesian-optimization hvac nonlinear-optimization nsga-ii multivariate-regression stochastic-optimization ipopt probabilistic-inference genetic-optimization-algorithm latin-hypercube-sampling building-energy xgboost-regression sobol-indices gurobi-solver pymoo
  • Updated Mar 15, 2023
  • Jupyter Notebook

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